class_docstr: Serializes pandas.Series into Arrow streaming format data.
code: def __init__(self, schema, row_type, timezone):
      super(ArrowSerializer, self).__init__()
      self._schema = schema
      self._field_types = row_type.field_types()
      self._timezone = timezone
  
file_path: flink/flink-python/pyflink/table/serializers.py
imports: import io
  from pyflink.serializers import IterableSerializer
  from pyflink.table.utils import arrow_to_pandas, pandas_to_arrow
label_desc: Use image node_id 1 to create a new ArrowSerializer object from inherited base classes: IterableSerializer with example: obj = ArrowSerializer(schema, row_type, timezone)